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Modeling and Optimization in Science and Technologies

Deep Learning Classifiers with Memristive Networks

Theory and Applications

Editors: James, Alex Pappachen (Ed.)

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  • Offers an introduction to deep neural network architectures
  • Describes in detail different kind of neuro-memristive systems, circuits and models
  • Shows how to implement different kind of neural networks in analog memristive circuits
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eBook 130,89 €
price for Spain (gross)
  • ISBN 978-3-030-14524-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-14522-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.

About the authors

Table of contents (15 chapters)

Table of contents (15 chapters)

Buy this book

eBook 130,89 €
price for Spain (gross)
  • ISBN 978-3-030-14524-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-14522-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning Classifiers with Memristive Networks
Book Subtitle
Theory and Applications
Editors
  • Alex Pappachen James
Series Title
Modeling and Optimization in Science and Technologies
Series Volume
14
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-14524-8
DOI
10.1007/978-3-030-14524-8
Hardcover ISBN
978-3-030-14522-4
Series ISSN
2196-7326
Edition Number
1
Number of Pages
XIII, 213
Number of Illustrations
22 b/w illustrations, 102 illustrations in colour
Topics